Senior Data Engineer

About Financefair At Financefair, we're not just another Fintech company. We're a dedicated team of professionals committed to providing innovative financial solutions that propel businesses forward. Specialising in funding the growth of Irish and UK SMEs, we pride ourselves on our ability to foster success through innovative financial solutions. Since our beginning in 2015, we have been obsessed about providing the very best and most innovative solutions, and a best-in-class customer experience, to become the finance partner of choice. Over the last 10 years, Financefair has funded over €2.0 billion for a wide range of clients across all sectors. We are in a period of rapid growth, launching new technology, expanding our team and growing our client base. The position is based at the company’s head office in Belfield Office Park, Clonskeagh, Dublin with 3 days (Monday, Wednesday & Thursday) in the office, with Tuesday & Friday’s working remote. This role reports directly to our Head of Engineering. Role Overview The Senior Data Engineer will play a key role in ensuring that data and operational excellence prevails across all aspects of the business, while working on improving management insights (MI) and contributing to the development of the company’s data architecture. Key Data Responsibilities Build, automate and monitor ETL/ELT pipelines using AWS services (EventBridge, Step Functions, Glue, Lambda, S3) with built-in reconciliation checks that guarantee financial data accuracy. Build ingestion pipelines that pull data from external APIs (e.g. Open Banking, credit rating providers) into the data lake, enriching and linking it with banking data. Perform data discovery and reverse-engineer reports from legacy systems then design the data structures needed to replace them in the modern platform. Develop interactive Amazon QuickSight dashboards backed by complex SQL models to support credit risk analysis and customer insights. Automate customer and funder statement generation via Amazon Athena, delivering accurate, on-demand statements straight from the data lake. Build and maintain Management Information (MI) dashboards that present data in an actionable format and turn analysis into clear reports that communicate business insight to non-technical stakeholders. Partner with product, engineering, credit, and finance teams to identify process improvements, recommend system changes, and shape data governance policy. Own and prioritise the reporting-infrastructure backlog alongside the Product Owner and participate in acceptance testing of new components. The Ideal Candidate The ideal candidate will have a degree in a business, technical, or quantitative discipline and 6+ years in a data analytics or data engineering role. Advanced SQL skills, including building data models that power BI/reporting tools. Strong hands-on experience with core AWS data services: Glue, Lambda, Step Functions, EventBridge, S3, Athena. Proven experience building and monitoring production ETL/ELT pipelines, including reconciliation and validation. Proficient in Python and Spark, with hands-on experience processing and optimizing large scale data volumes. Experience with Amazon QuickSight (or a comparable BI tool) for dashboard and report development. Experience integrating third-party APIs into a data lake and a solid grasp of data lake design principles. Experience working in Agile/product-led environments, managing a backlog with a Product Owner. Strong communication skills, with a track record of working directly with non-technical stakeholders. Experience in querying unstructured data (e.g., nested and repeated fields, JSON). Working At Financefair Competitive salary with performance related bonus opportunity A contributory pension scheme with life assurance and other insurances A contribution to a healthcare plan of your choice or gym membership A company who invests in the learning and development of its people A great team with a good sense of fun